45 citations · 214 across the 86 of their papers we have counts for
19 papers · 1 filter
STELLAR: Siamese Multi-Headed Attention Neural Networks for Overcoming Temporal Variations and Device Heterogeneity with Indoor Localization
Danish Gufran, Saideep Tiku, Sudeep Pasricha
Smartphone-based indoor localization has emerged as a cost-effective and accurate solution to localize mobile and IoT devices indoors. However, the challenges of device heterogenei…
MOSAIC: A Multi-Objective Optimization Framework for Sustainable Datacenter Management
Sirui Qi, Dejan Milojicic, Cullen Bash +1
In recent years, cloud service providers have been building and hosting datacenters across multiple geographical locations to provide robust services. However, the geographical dis…
COMET: A Cross-Layer Optimized Optical Phase Change Main Memory Architecture
Febin Sunny, Amin Shafiee, Benoit Charbonnier +2
Traditional DRAM-based main memory systems face several challenges with memory refresh overhead, high latency, and low throughput as the industry moves towards smaller DRAM cells.…
CALLOC: Curriculum Adversarial Learning for Secure and Robust Indoor Localization
Danish Gufran, Sudeep Pasricha
Indoor localization has become increasingly vital for many applications from tracking assets to delivering personalized services. Yet, achieving pinpoint accuracy remains a challen…
SHIELD: Sustainable Hybrid Evolutionary Learning Framework for Carbon, Wastewater, and Energy-Aware Data Center Management
Sirui Qi, Dejan Milojicic, Cullen Bash +1
Today's cloud data centers are often distributed geographically to provide robust data services. But these geo-distributed data centers (GDDCs) have a significant associated enviro…
Compact and Low-Loss PCM-based Silicon Photonic MZIs for Photonic Neural Networks
Amin Shafiee, Sanmitra Banerjee, Benoit Charbonnier +2
We present an optimized Mach-Zehnder Interferometer (MZI) with phase change materials for photonic neural networks (PNNs). With 0.2 dB loss, -38 dB crosstalk, and length of 52 micr…